Cargando…
基于粪便肠道优势菌群检测数据的高尿酸血症相关影响因素分析
OBJECTIVE: To study the correlation of intestinal dominant flora with hyperuricemia, and to explore influencing factors of hyperuricemia. METHODS: Data of gut dominant microbiota were collected from subjects who underwent health check-up in Shulan (Hangzhou) Hospital from January 2018 to April 2020....
Formato: | Online Artículo Texto |
---|---|
Lenguaje: | English |
Publicado: |
《浙江大学学报》编辑部
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293774/ https://www.ncbi.nlm.nih.gov/pubmed/37283105 http://dx.doi.org/10.3724/zdxbyxb-2023-0018 |
_version_ | 1785063062740402176 |
---|---|
collection | PubMed |
description | OBJECTIVE: To study the correlation of intestinal dominant flora with hyperuricemia, and to explore influencing factors of hyperuricemia. METHODS: Data of gut dominant microbiota were collected from subjects who underwent health check-up in Shulan (Hangzhou) Hospital from January 2018 to April 2020. Subjects with high uric acid and normal uric acid were matched by propensity score matching method according to age, gender and body mass index (BMI). This resulted in 178 pairs as hyperuricemia group and control group. The gut dominant microbiota between hyperuricemia and normal control group were compared. Pearson or Spearman correlation coefficient method was used to analyze the correlation between blood uric acid and intestinal dominant flora. Univariate and multivariate logistic regression were used to analyze the influencing factors of hyperuricemia. RESULTS: The abundance of Atopobium, Lactobacillus, Bacteroides, Enterococcus, Clostridium leptum, Fusobacterium prausnitzii, Bifidobacterium, Clostridium butyricum and the ratio of Bifidobacterium to Enterobacter (B/E) in the hyperuricemia group were significantly lower than those in the control group (all P<0.01). The correlation analysis showed that serum uric acid were negatively correlated with the abundance of Atopobium (r=-0.224, P<0.01), Bacteroides (r=-0.116, P<0.05), Clostridium leptum (r=-0.196, P<0.01), Fusobacterium prausnitzii (r=-0.244, P<0.01), Bifidobacterium (r=-0.237, P<0.01), Eubacterium rectale (r=-0.125, P<0.05), Clostridium butyricum (r=-0.176, P<0.01) and B/E value (r=-0.127, P<0.05). Multivariate logistic regression analysis showed that glutamyl transpeptidase was an independent risk factor for hyperuricemia (OR=1.007, 95%CI: 1.002-1.012, P<0.05), and the Atopobium was an independent protective factor for hyperuricemia (OR=0.714, 95%CI: 0.605-0.842, P<0.01). CONCLUSION: There are alterations in abundance of gut dominant microbiota in patients with hyperuricemia, and Atopobium abundance appears as a protective factor for hyperuricemia. |
format | Online Article Text |
id | pubmed-10293774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | 《浙江大学学报》编辑部 |
record_format | MEDLINE/PubMed |
spelling | pubmed-102937742023-06-28 基于粪便肠道优势菌群检测数据的高尿酸血症相关影响因素分析 Zhejiang Da Xue Xue Bao Yi Xue Ban Research Article OBJECTIVE: To study the correlation of intestinal dominant flora with hyperuricemia, and to explore influencing factors of hyperuricemia. METHODS: Data of gut dominant microbiota were collected from subjects who underwent health check-up in Shulan (Hangzhou) Hospital from January 2018 to April 2020. Subjects with high uric acid and normal uric acid were matched by propensity score matching method according to age, gender and body mass index (BMI). This resulted in 178 pairs as hyperuricemia group and control group. The gut dominant microbiota between hyperuricemia and normal control group were compared. Pearson or Spearman correlation coefficient method was used to analyze the correlation between blood uric acid and intestinal dominant flora. Univariate and multivariate logistic regression were used to analyze the influencing factors of hyperuricemia. RESULTS: The abundance of Atopobium, Lactobacillus, Bacteroides, Enterococcus, Clostridium leptum, Fusobacterium prausnitzii, Bifidobacterium, Clostridium butyricum and the ratio of Bifidobacterium to Enterobacter (B/E) in the hyperuricemia group were significantly lower than those in the control group (all P<0.01). The correlation analysis showed that serum uric acid were negatively correlated with the abundance of Atopobium (r=-0.224, P<0.01), Bacteroides (r=-0.116, P<0.05), Clostridium leptum (r=-0.196, P<0.01), Fusobacterium prausnitzii (r=-0.244, P<0.01), Bifidobacterium (r=-0.237, P<0.01), Eubacterium rectale (r=-0.125, P<0.05), Clostridium butyricum (r=-0.176, P<0.01) and B/E value (r=-0.127, P<0.05). Multivariate logistic regression analysis showed that glutamyl transpeptidase was an independent risk factor for hyperuricemia (OR=1.007, 95%CI: 1.002-1.012, P<0.05), and the Atopobium was an independent protective factor for hyperuricemia (OR=0.714, 95%CI: 0.605-0.842, P<0.01). CONCLUSION: There are alterations in abundance of gut dominant microbiota in patients with hyperuricemia, and Atopobium abundance appears as a protective factor for hyperuricemia. 《浙江大学学报》编辑部 2023-04-25 /pmc/articles/PMC10293774/ /pubmed/37283105 http://dx.doi.org/10.3724/zdxbyxb-2023-0018 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Research Article 基于粪便肠道优势菌群检测数据的高尿酸血症相关影响因素分析 |
title | 基于粪便肠道优势菌群检测数据的高尿酸血症相关影响因素分析 |
title_full | 基于粪便肠道优势菌群检测数据的高尿酸血症相关影响因素分析 |
title_fullStr | 基于粪便肠道优势菌群检测数据的高尿酸血症相关影响因素分析 |
title_full_unstemmed | 基于粪便肠道优势菌群检测数据的高尿酸血症相关影响因素分析 |
title_short | 基于粪便肠道优势菌群检测数据的高尿酸血症相关影响因素分析 |
title_sort | 基于粪便肠道优势菌群检测数据的高尿酸血症相关影响因素分析 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293774/ https://www.ncbi.nlm.nih.gov/pubmed/37283105 http://dx.doi.org/10.3724/zdxbyxb-2023-0018 |
work_keys_str_mv | AT jīyúfènbiànchángdàoyōushìjūnqúnjiǎncèshùjùdegāoniàosuānxuèzhèngxiāngguānyǐngxiǎngyīnsùfēnxī AT jīyúfènbiànchángdàoyōushìjūnqúnjiǎncèshùjùdegāoniàosuānxuèzhèngxiāngguānyǐngxiǎngyīnsùfēnxī AT jīyúfènbiànchángdàoyōushìjūnqúnjiǎncèshùjùdegāoniàosuānxuèzhèngxiāngguānyǐngxiǎngyīnsùfēnxī |